Fix FusedBatchNormEx and SparseSoftmax for GPU

mindspore/ccsrc/frontend/parallel/auto_parallel/rec_core/rec_generate_strategy.cc

@@ -368,14 +368,19 @@ Strategys MakeDataParallelStrategy(const std::shared_ptr<Graph> &graph,
     for (size_t dim = 0; dim < input_size; dim++) {
       if (input_size == 1 || input_size == 2 || input_size == 4) {
         if (dim == 0) {
-          s.push_back(std::min(max_device_num, target_tensor_batch));
+          // Currently GPU version does not support partitioning ‘FusedBatchNormEx’ in its param tensors.
+          if (ops[iter_ops]->type() == "FusedBatchNormEx" && iter_op_inputs != 0) {
+            s.push_back(1);
+          } else {
+            s.push_back(std::min(max_device_num, target_tensor_batch));
+          }
         } else {
           s.push_back(1);
         }
       } else if (input_size == 0) {
         s = {};
       } else {
-        MS_LOG(EXCEPTION) << ops[iter_ops]->name() << ": Tensor's shape is unknown.";
+        MS_LOG(EXCEPTION) << ops[iter_ops]->name() << ": Tensor shape " << input_size << " is unexpected.";
       }
     }
     strategies.push_back(s);
@@ -416,6 +421,8 @@ Strategys PrepareStrategy(const std::shared_ptr<Graph> &graph, const std::vector
     return PrepareMatMul(graph, ops, iter_graph, iter_ops);
   } else if (type == ONEHOT) {
     return PrepareOneHot(graph, ops, iter_graph, iter_ops);
+  } else if (type == SPARSE_SOFTMAX_CROSS_ENTROPY_WITH_LOGITS) {
+    return MakeDataParallelStrategy(graph, ops, iter_graph, iter_ops);
   } else {
     return MakeRecSearchStrategy(graph, ops, iter_graph, iter_ops);
   }